{
  "cells": [
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "e72QfIzkcpmr"
      },
      "source": [
        "原始论文： 波动率与换手率构造牛熊指标\n",
        "\n",
        "论文解读： [量化-研报复现]探究使用波动率与换手率构造牛熊指标因子\n",
        "\n",
        "论文简介: 波动率和换手率是常见的市场监测指标，其与市场长期走势明显负相关的指标，而且指标趋势性较好，因此可以用来判断股票市场状况。本文分享的工作借助波动率与换手率构造出的牛熊指标因子，借助牛熊指标因子开发的择时策略普遍优于直接对指数本身的择时策略。\n",
        "\n",
        "为了进一步拓展波动率和换手率的使用，本人在原研报的基础上进行了扩展，尝试使用OpenFE进行因子的自动生成，结果显示可以进一步提升策略的收益。\n",
        "\n",
        "作者： Spectator\n",
        "\n",
        "结构说明：\n",
        "\n",
        "第一部分: 安装并导入依赖包;\n",
        "第二部分：加载并预处理数据;\n",
        "第三部分：使用原始研报中的牛熊指标因子进行回测;\n",
        "第四部分：使用OpenFE进行自动因子挖掘，并对挖掘出来的因子进行回测。\n",
        "\n",
        "结果说明：\n",
        "\n",
        "1.波动率和换手率都是复现的，可能和原文的设置并不完全一致，但是结果和原文结果是一致的。\n",
        "\n",
        "2.为了处理方便，交易没有考虑手续费，由于交易频率较低，手续费影响有限；\n",
        "\n",
        "3.原始研报中的牛熊因子和使用OpenFE进行自动因子挖掘都是在数据上直接进行的，存在过拟合失效的风险。\n",
        "\n",
        "4.使用OpenFE进行因子挖掘是主要为了展示OpenFE的功能，当前的用法存在不合理性。\n",
        "\n",
        "5.只展示了双均线策略和上证指数的回测结果，可以通过修改指数名称和自定义布林带策略进行回测。"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xk6qbXolct_u"
      },
      "source": [
        "# 第一部分: 安装并导入依赖包\n",
        "\n",
        "1.安装依赖包"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6YKYSmsEcrmS",
        "outputId": "de9b31ab-1ee2-4d61-b0c3-4543df7ff29e"
      },
      "outputs": [],
      "source": [
        "pip install tushare && pip install pandas && pip install pandas && pip install quantstats && pip install openfe"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QtqdeOTSx54N"
      },
      "source": [
        "2.导入依赖包"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "aKgoxpoqeDcm"
      },
      "outputs": [],
      "source": [
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "import os\n",
        "import time \n",
        "import math\n",
        "import tushare\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import quantstats as qs\n",
        "qs.extend_pandas()\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "\n",
        "from openfe import openfe, transform"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ohUOBApiyD1L"
      },
      "source": [
        "# 第二部分：加载数据\n",
        "\n",
        "3.定义使用tushare的数据加载函数，使用tushare需要注册账户并配置token（没有账户或账户积分不足可以使用离线数据运行）"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "-bJKWh0ncqME"
      },
      "outputs": [],
      "source": [
        "token = \"tuhsare账户的token\"\n",
        "tushare.set_token(token)\n",
        "ts = tushare.pro_api()\n",
        "\n",
        "def fetch_index_data(ts_code, **kwargs):\n",
        "    start_date = kwargs.get(\"start\",None)\n",
        "    end_date = kwargs.get(\"end\",None)\n",
        "    datas = []\n",
        "    while True:\n",
        "        index_dailybasic_data = ts.index_dailybasic(ts_code=ts_code,end_date=end_date).iloc[::-1]\n",
        "        index_daily_data = ts.index_daily(ts_code=ts_code,end_date=end_date).iloc[::-1]\n",
        "        data = index_dailybasic_data.merge(index_daily_data, on=['trade_date','ts_code'])\n",
        "        current_start_date = data.iloc[0][\"trade_date\"]\n",
        "        if current_start_date == start_date:\n",
        "            break\n",
        "        else:\n",
        "            start_date = current_start_date\n",
        "            end_date = current_start_date\n",
        "        datas.append(data)\n",
        "        time.sleep(0.01)\n",
        "    datas = datas[::-1]\n",
        "    data = pd.concat(datas)\n",
        "    data.drop_duplicates(inplace=True)\n",
        "    data = data.reset_index(drop=True)\n",
        "\n",
        "    data = data.rename(columns={\"ts_code\" : \"code\", \"trade_date\": \"date\"})\n",
        "    data = data.set_index(\"date\")\n",
        "    data.index = pd.to_datetime(data.index)\n",
        "\n",
        "    return data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WBc8m_UGyqF9"
      },
      "source": [
        "4.加载数据"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "QflkFRngelNP"
      },
      "outputs": [],
      "source": [
        "# 上证综指\n",
        "ts_code = \"000001.SH\"\n",
        "# 沪深300\n",
        "#ts_code = \"000300.SH\"\n",
        "\n",
        "try:\n",
        "    data = fetch_index_data(ts_code)[[\"close\", \"turnover_rate_f\",\"pct_chg\"]]\n",
        "    data.to_csv(ts_code+\".csv\")\n",
        "except:\n",
        "    data = pd.read_csv(ts_code+\".csv\")\n",
        "    data = data.set_index(\"date\")\n",
        "data[\"turnover_rate_f\"] *= 0.01\n",
        "data[\"day_return\"] = data.close.rolling(2).apply(lambda x:(x[-1]-x[0])/x[0])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SG4ysBIcIc2l"
      },
      "source": [
        "5.计算250天的波动率方差和换手率均值"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "8CgNUF--fN7C"
      },
      "outputs": [],
      "source": [
        "data[\"day_return\"] = data.close.rolling(2).apply(lambda x:(x[-1]-x[0])/x[0])\n",
        "data[\"rolling_volatility\"] = data.get(\"close\").pct_change().rolling(250,min_periods=100).std()\n",
        "data[\"rolling_turnover_rate\"] = data.get(\"turnover_rate_f\").rolling(250,min_periods=100).mean()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "y2YpNbOOI1R5"
      },
      "source": [
        "# 三 使用牛熊指标进行回测\n",
        "6.计算牛熊指标，并使用双均线策略进行回测"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 291
        },
        "id": "ACv0QzzNewaJ",
        "outputId": "4c9cf49c-4ad8-4f15-f961-749b8b256ce7"
      },
      "outputs": [
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "data[\"market_status_indicator\"] = data[\"rolling_volatility\"]/data[\"rolling_turnover_rate\"]\n",
        "data[\"market_status_indicator_20day_average\"] = data.get(\"market_status_indicator\").rolling(20).mean()\n",
        "data[\"market_status_indicator_60day_average\"] = data.get(\"market_status_indicator\").rolling(60).mean()\n",
        "\n",
        "data[\"market_status_indicator_average_flag\"] = (data[\"market_status_indicator_20day_average\"] <= data[\"market_status_indicator_60day_average\"]).astype(int)\n",
        "# 指标后移一个时间单位，和下一个时间单位对齐（上一时刻计算出的指标用于指示当前时刻的操作）\n",
        "data[\"market_status_indicator_average_flag\"].iloc[1:] = data[\"market_status_indicator_average_flag\"].iloc[:-1] \n",
        "data[\"market_status_indicator_average_return\"] = data.market_status_indicator_average_flag * data.day_return\n",
        "data[\"market_status_indicator_average_cumprod_return\"] = np.cumprod(data[\"market_status_indicator_average_return\"].fillna(0).values + 1) *100\n",
        "\n",
        "_ = plt.figure(figsize=(20, 5))\n",
        "plt.xlabel('Time') \n",
        "plt.ylabel('Return')\n",
        "_ = plt.plot(data[\"market_status_indicator_average_cumprod_return\"])\n",
        "_ = plt.legend(['market_status_indicator_average_cumprod_return',]) \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c2rW00idJRl5"
      },
      "source": [
        "# 四 使用OpenFE进行自动因子挖掘\n",
        "\n",
        "7.使用rolling_volatility和rolling_turnover_rate作为特征，使用OpenFE挖掘高级特征"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "91Q7LvIifw1T",
        "outputId": "3aa5dd26-6265-4e97-b02d-a69d8699b20b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The number of candidate features is 22\n",
            "Start stage I selection.\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "100%|██████████| 22/22 [00:00<00:00, 38.93it/s]\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "13 same features have been deleted.\n",
            "Meet early-stopping in successive feature-wise halving.\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "100%|██████████| 9/9 [00:00<00:00, 23.02it/s]\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The number of remaining candidate features is 9\n",
            "Start stage II selection.\n",
            "Finish data processing.\n",
            "第一个特征的算子名称- ; 第一特征的输入数据：['rolling_volatility', 'rolling_turnover_rate']\n"
          ]
        }
      ],
      "source": [
        "ofe = openfe()\n",
        "train_x = data[[\"rolling_volatility\",\"rolling_turnover_rate\"]]\n",
        "train_y = data.close\n",
        "features = ofe.fit(data=train_x, label=train_y, n_jobs=16)  # generate new features\n",
        "print(f\"第一个特征的算子名称{features[0].name} ; 第一特征的输入数据：{[children.name for children in features[0].children]}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sBZCXF5YJ0CN"
      },
      "source": [
        "8.按照7的挖掘结果生成挖掘出来的第一个特征数据"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "-lu8wt8IKBFA"
      },
      "outputs": [],
      "source": [
        "data[\"market_status_indicator_openfe\"] = data[\"rolling_volatility\"] - data[\"rolling_turnover_rate\"]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_iDAOQ3pMsJZ"
      },
      "source": [
        "9.使用6中的双均线策略对挖掘出的特征进行回测，并和原始研报中的牛熊指标进行对比"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "M0GfsW3h8FBe"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 2000x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "data[\"market_status_indicator_openfe_20day_average\"] = data.get(\"market_status_indicator_openfe\").rolling(20).mean()\n",
        "data[\"market_status_indicator_openfe_60day_average\"] = data.get(\"market_status_indicator_openfe\").rolling(60).mean()\n",
        "\n",
        "data[\"market_status_indicator_openfe_average_flag\"] = (data[\"market_status_indicator_openfe_20day_average\"] <= data[\"market_status_indicator_openfe_60day_average\"]).astype(int)\n",
        "# 指标后移一个时间单位，和下一个时间单位对齐（上一时刻计算出的指标用于指示当前时刻的操作）\n",
        "data[\"market_status_indicator_openfe_average_flag\"].iloc[1:] = data[\"market_status_indicator_openfe_average_flag\"].iloc[:-1] \n",
        "data[\"market_status_indicator_openfe_average_return\"] = data.market_status_indicator_openfe_average_flag * data.day_return\n",
        "data[\"market_status_indicator_openfe_average_cumprod_return\"] = np.cumprod(data[\"market_status_indicator_openfe_average_return\"].fillna(0).values + 1) *100\n",
        "\n",
        "_ = plt.figure(figsize=(20, 5))\n",
        "plt.xlabel('Time') \n",
        "plt.ylabel('Return')\n",
        "_ = plt.plot(data[\"market_status_indicator_average_cumprod_return\"])\n",
        "_ = plt.plot(data[\"market_status_indicator_openfe_average_cumprod_return\"])\n",
        "_ = plt.legend(['market_status_indicator_average_cumprod_return', 'market_status_indicator_openfe_average_cumprod_return'])\n"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "quantops",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.0 (default, Nov 15 2020, 14:28:56) \n[GCC 7.3.0]"
    },
    "vscode": {
      "interpreter": {
        "hash": "ffed24f4559c1316d5d96f73f6b85f89febb1a358af0841f64fe2fd619dc81e1"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
